High-Performance Open-Source Archive
Combines the 'magick' and 'imager' packages to streamline image analysis, focusing on feature extraction and quantification from biological images, especially microparticles. By providing high throughput pipelines and clustering capabilities, 'biopixR' facilitates efficient insight generation for researchers (Schneider J. et al. (2019) <doi:10.21037/jlpm.2019.04.05>).
| Version: | 1.2.0 |
| Depends: | R (≥ 4.2.0), imager, magick |
| Imports: | data.table, cluster |
| Suggests: | tcltk, knitr, rmarkdown, doParallel, kohonen, imagerExtra, GPareto, foreach |
| Published: | 2024-11-11 |
| DOI: | 10.32614/CRAN.package.biopixR |
| Author: | Tim Brauckhoff |
| Maintainer: | Tim Brauckhoff <brauctile at disroot.org> |
| BugReports: | https://github.com/Brauckhoff/biopixR/issues |
| License: | LGPL (≥ 3) |
| URL: | https://github.com/Brauckhoff/biopixR |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, ChangeLog |
| CRAN checks: | biopixR results |
| Reference manual: | biopixR.html , biopixR.pdf |
| Vignettes: |
biopixR - Introduction (source, R code) |
| Package source: | biopixR_1.2.0.tar.gz |
| Windows binaries: | r-devel: biopixR_1.2.0.zip, r-release: biopixR_1.2.0.zip, r-oldrel: biopixR_1.2.0.zip |
| macOS binaries: | r-release (arm64): biopixR_1.2.0.tgz, r-oldrel (arm64): biopixR_1.2.0.tgz, r-release (x86_64): biopixR_1.2.0.tgz, r-oldrel (x86_64): biopixR_1.2.0.tgz |
| Old sources: | biopixR archive |
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